loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Fifth IEEE International Workshop on Computer Architectures for Machine Perception (CAMP'00)
Anet: A Programming Environment for Parallel Image Analysis
Padova, Italy
September 11-September 13
ISBN: 0-7695-0740-9
ASCII Text
x 
 
B. Ducourthial, A. Mérigot, N. Sicard, "Anet: A Programming Environment for Parallel Image Analysis," Computer Architectures for Machine Perception, International Workshop on, pp. 280, Fifth IEEE International Workshop on Computer Architectures for Machine Perception (CAMP'00), 2000.
 
 
BibTex
x
 
@article{ 10.1109/CAMP.2000.875987,
author = {B. Ducourthial and A. Mérigot and N. Sicard},
title = {Anet: A Programming Environment for Parallel Image Analysis},
journal ={Computer Architectures for Machine Perception, International Workshop on},
volume = {0},
year = {2000},
isbn = {0-7695-0740-9},
pages = {280},
doi = {http://doi.ieeecomputersociety.org/10.1109/CAMP.2000.875987},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer Architectures for Machine Perception, International Workshop on
TI - Anet: A Programming Environment for Parallel Image Analysis
SN - 0-7695-0740-9
SP
EP
A1 - B. Ducourthial,
A1 - A. Mérigot,
A1 - N. Sicard,
PY - 2000
KW - programming environments; Anet; programming environment; parallel image analysis; programmability requirements; graph based associative nets computing model; irregular data manipulation
VL - 0
JA - Computer Architectures for Machine Perception, International Workshop on
ER -
 
B. Ducourthial, Lab. Heudyasic, Univ. de Technol. de Compiegne, France
A. Mérigot, Lab. Heudyasic, Univ. de Technol. de Compiegne, France
N. Sicard, Lab. Heudyasic, Univ. de Technol. de Compiegne, France
In this paper we present the programming environment Anet for image analysis, that aims to bridge the gap between programmability requirements and parallel efficiency. It is based on the graph based associative nets computing model, and allows irregular data manipulation. As it is intrinsically a parallel model, parallel execution can be quite naturally considered, and as the number of primitives is small, effective parallelization requires an initial limited effort and can be reused by a large set of programs.
Index Terms:
programming environments; Anet; programming environment; parallel image analysis; programmability requirements; graph based associative nets computing model; irregular data manipulation
Citation:
B. Ducourthial, A. Mérigot, N. Sicard, "Anet: A Programming Environment for Parallel Image Analysis," camp, pp.280, Fifth IEEE International Workshop on Computer Architectures for Machine Perception (CAMP'00), 2000
Usage of this product signifies your acceptance of the Terms of Use.